Method and system for determining an optimal missile intercept approach direction for correct remote sensor-to-seeker handover
원문보기
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
F41G-007/20
F41G-007/22
F41G-007/30
F42B-015/01
F41G-007/00
F42B-015/00
출원번호
US-0893605
(2010-09-29)
등록번호
US-8710411
(2014-04-29)
발명자
/ 주소
LaPat, Ronald H.
출원인 / 주소
Lockheed Martin Corporation
대리인 / 주소
Howard IP Law Group PC
인용정보
피인용 횟수 :
2인용 특허 :
14
초록▼
A method and system for determining an optimal missile intercept approach direction to maximize the probability of association between a remote sensor designated object and a corresponding missile seeker-observed object. The method and system calculates a distance metric between a remote sensor desi
A method and system for determining an optimal missile intercept approach direction to maximize the probability of association between a remote sensor designated object and a corresponding missile seeker-observed object. The method and system calculates a distance metric between a remote sensor designated object and the corresponding missile seeker-observed object, and calculates the probability that the remote sensor designated object and the corresponding missile seeker-observed object have a smaller distance metric between them than between the remote sensor designated object and any other missile seeker-observed object.
대표청구항▼
1. A computer implemented method for determining an optimal missile intercept approach direction to maximize the probability of association between a remote sensor designated object and a corresponding missile seeker-observed object, the method comprising: calculating in a computer processor, a dist
1. A computer implemented method for determining an optimal missile intercept approach direction to maximize the probability of association between a remote sensor designated object and a corresponding missile seeker-observed object, the method comprising: calculating in a computer processor, a distance metric between the remote sensor designated object and the corresponding missile seeker-observed object; andcalculating in the computer processor, the probability that the remote sensor designated object and the corresponding missile seeker-observed object have a smaller distance metric between them than between the remote sensor designated object and any other seeker-observed object; anddetermining a missile intercept approach direction based on said distance metric and probability calculations from said computer processor. 2. The method of claim 1, wherein the distance metric comprises a Mahalanobis distance metric. 3. The method of claim 1, wherein the calculations are performed analytically, numerically, by Monte Carlo trials and any combination thereof. 4. The method of claim 1, wherein the determining step further comprises: determining an optimal in-flight approach direction having a highest probability of having a smaller distance metric between the remote sensor designated object and the corresponding missile seeker observed object than between the remote sensor designated object and any other missile seeker observed object. 5. A method for determining an optimal missile intercept approach direction to maximize the probability of correct association between a remote sensor designated object and a corresponding missile seeker-observed object, the method comprising: scanning over a plurality of bistatic angles between the remote sensor, the designated object, and the missile seeker, in a computer process;for each bistatic angle: transforming in a computer process, true kinematic states of the objects to a seeker reference frame;iteratively adding in a computer process, randomly selected remote sensor and seeker measurement noise to the true kinematic states of the remote sensor designated object and the corresponding missile seeker-observed object;for each iteration of adding randomly selected measurement noise, calculating in a computer process, a distance metric between the remote sensor designated object and the corresponding missile seeker-observed object; andfor all the iterations of adding selected measurement noise, calculating in a computer process, the probability that the remote sensor designated object and the corresponding missile seeker-observed object have a smaller distance metric between them than between the remote sensor designated object any other missile seeker-observed object;selecting in a computer process as the optimal missile intercept approach direction, the bistatic angle with the highest probability that the remote sensor designated object and the corresponding missile seeker-observed object have a smaller distance metric between them than between the remote sensor designated object and any other missile seeker-observed object. 6. The method of claim 5, wherein the distance metric comprises a Mahalanobis distance metric. 7. The method of claim 5, wherein the transforming of true kinematic states of the objects to a seeker reference frame includes: transforming the true kinematic states of the remote sensor designated object from a navigation reference frame to a remote sensor reference frame prior to or after iteratively adding the randomly selected remote sensor measurement noise to the true kinematic states of the remote sensor designated object; andtransforming the true kinematic states of the remote sensor designated object with the randomly selected remote sensor measurement noise from the remote sensor reference frame to the seeker reference frame prior to calculating the distance metrics between the remote sensor designated object and the corresponding missile seeker-observed object. 8. The method of claim 7, wherein the transforming of true kinematic states of the objects to a seeker reference frame further includes transforming the true kinematic states of the seeker-observed objects from a navigation reference frame to a seeker reference frame prior to or after iteratively adding the randomly selected seeker measurement noise to the true kinematic states of the seeker-observed objects. 9. The method of claim 5, wherein the transforming of true kinematic states of the objects to a seeker reference frame includes transforming the true kinematic states of the seeker-observed objects from a navigation reference frame to a seeker reference frame prior to or after iteratively adding the randomly selected seeker measurement noise to the true kinematic states of the seeker-observed objects. 10. A system for determining an optimal missile intercept approach direction to maximize the probability of association between a remote sensor designated object and a corresponding missile seeker-observed object, the system comprising: a processor executing instructions for: calculating a distance metric between the remote sensor designated object and the corresponding missile seeker-observed object; andcalculating the probability that the remote sensor designated object and the corresponding missile seeker-observed object have a smaller distance metric between them than between the remote sensor designated object and any other missile seeker-observed object. 11. The system of claim 10, wherein the distance metric comprises a Mahalanobis distance metric. 12. The system of claim 10, wherein the calculations are performed analytically, numerically, by Monte Carlo trials and any combination thereof. 13. A system for determining an optimal missile intercept approach direction to maximize the probability of association between a remote sensor designated object and a corresponding missile seeker-observed object, the method comprising: a processor executing instructions for: scanning over a plurality of bistatic angles between the remote sensor, the designated object, and the missile seeker;for each bistatic angle: transforming true kinematic states of the objects to a seeker reference frame;iteratively adding randomly selected remote sensor and seeker measurement noise to the true kinematic states of the remote sensor designated object and the corresponding missile seeker-observed object;for each iteration of adding randomly selected measurement noise, calculating a distance metric between the remote sensor designated object and the corresponding missile seeker-observed object; andfor all the iterations of adding selected measurement noise, calculating the probability that the remote sensor designated object and the corresponding missile seeker-observed object have a smaller distance metric between them than between the remote sensor designated object and any other missile seeker-observed object; andselecting as the optimal missile intercept approach direction, the bistatic angle with the highest probability that the remote sensor designated object and the corresponding missile seeker-observed object have a smaller distance metric between them than between the remote sensor designated object and any other missile seeker-observed object. 14. The system of claim 13, wherein the distance metric comprises a Mahalanobis distance metric. 15. The system of claim 13, wherein the transforming of true kinematic states of the objects to a seeker reference frame includes: transforming the true kinematic states of the remote sensor designated object from a navigation reference frame to a remote sensor reference frame prior to or after iteratively adding the randomly selected remote sensor measurement noise to the true kinematic states of the remote sensor designated object; andtransforming the true kinematic states of the remote sensor designated object with the randomly selected remote sensor measurement noise from the remote sensor reference frame to the seeker reference frame prior to calculating the distance metrics between the remote sensor designated object and the corresponding missile seeker-observed object. 16. The system of claim 15, wherein the transforming of true kinematic states of the objects to a seeker reference frame further includes transforming the true kinematic states of the seeker-observed objects from a navigation reference frame to a seeker reference frame prior to or after iteratively adding the randomly selected seeker measurement noise to the true kinematic states of the seeker-observed objects. 17. The system of claim 13, wherein the transforming of true kinematic states of the objects to a seeker reference frame includes transforming the true kinematic states of the seeker-observed objects from a navigation reference frame to a seeker reference frame prior to or after iteratively adding the randomly selected seeker measurement noise to the true kinematic states of the seeker-observed objects.
Yates Robert E. (Huntsville AL) Leonard John P. (Huntsville AL) Alongi Robert E. (Huntsville AL), Ideal trajectory shaping for anti-armor missiles via time optimal controller autopilot.
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